About The Company
Coinbase is a leading cryptocurrency exchange and financial technology company dedicated to increasing economic freedom worldwide. As a remote-first organization, Coinbase fosters an innovative, fast-paced environment where talented professionals collaborate to build the future of finance. The company emphasizes a culture of excellence, continuous learning, and pushing boundaries to deliver cutting-edge solutions that empower individuals and institutions to participate confidently in the digital economy.
Coinbase values diversity, inclusion, and responsible innovation, making it an ideal workplace for those passionate about transforming financial services through technology.
About The Role
We are seeking a highly skilled Staff Machine Learning Engineer specializing in Customer Experience (CX) Intelligence to join our team. In this pivotal role, you will lead the design, development, and deployment of advanced machine learning systems that enhance customer engagement and support across Coinbase’s ecosystem. You will collaborate closely with cross-functional teams—including product managers, engineers, and leadership—to define strategic roadmaps and execute projects that improve resolution quality, automate processes, and ensure safety and reliability in customer interactions.
Your expertise will help shape the technical direction of our ML initiatives, leveraging state-of-the-art techniques such as large language models, deep learning, and graph neural networks to solve complex customer experience challenges. This is an opportunity to influence high-impact projects, mentor engineering teams, and contribute to Coinbase’s mission of increasing economic freedom through innovative technology solutions.
Qualifications
8+ years of experience in machine learning and software engineering, with a proven track record of building and maintaining production ML systems
Hands-on expertise with large language models (LLMs), deep learning, graph neural networks, gradient-boosted trees, or regression analysis
Strong knowledge of NLP, information retrieval, data mining, and advanced statistical methods
Proficiency in Python, with the ability to write maintainable, well-tested production code for ML services
Experience mentoring engineers and establishing technical standards across teams or organizations
Ability to lead design reviews focusing on security, responsible AI, model quality, and architectural integrity
Demonstrated success in translating strategic visions into actionable plans with measurable outcomes
Excellent collaboration skills to partner with stakeholders and influence technical and non-technical teams
Responsibilities
Own the end-to-end design and deployment of production machine learning systems that address complex customer experience challenges
Apply advanced ML techniques, including LLMs, deep learning, and graph neural networks, to develop innovative solutions
Partner with leadership and cross-functional teams to define strategic roadmaps and translate them into quarterly execution plans
Lead high-impact ML projects from architecture through production, managing priorities, risks, and dependencies effectively
Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality Python code
Mentor engineering team members, establishing standards for system design, testing, observability, and operational excellence
Conduct design reviews to ensure security, responsible AI practices, model quality, and architectural integrity
Drive continuous improvement in system performance, latency, and scalability across the ML stack
Benefits
Competitive salary aligned with experience and location
Equity options and bonus eligibility
Comprehensive health benefits including medical, dental, and vision coverage
Retirement savings plan (401(k))
Paid time off and flexible work arrangements
Opportunities for professional growth and development in a cutting-edge industry
Collaborative and inclusive company culture that values innovation and responsible AI
Equal Opportunity
Coinbase is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
We adhere to applicable federal, state, and local laws regarding equal employment opportunity and nondiscrimination. Applicants with criminal histories will be considered in accordance with legal standards.